ICA-based Method for Power Quality Disturbance Detection

被引：0

作者：

Nagata, Erick Akio ^{[1
]}

Ferreira, Danton Diego ^{[1
]}

Duque, Carlos Augusto ^{[2
]}

机构：

[1] Univ Fed Lavras, Dept Engn, Lavras, MG, Brazil

[2] Univ Fed Juiz de Fora, Dept Elect Engn, Juiz De Fora, MG, Brazil

来源：

PROCEEDINGS OF 2016 17TH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER (ICHQP) | 2016年

关键词：

ICA; Power Quality; Disturbance Detection; INDEPENDENT COMPONENT ANALYSIS; SINGLE;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents a method based on Independent Component Analysis (ICA) for power quality disturbance detection. The proposed method focuses on the detection of sag, swell, sinusoidal voltage fluctuation, fundamental frequency variations and harmonics in electric power signals. Suitable results were achieved from simulated signals in which the beginning and ending time of these disturbances were accurately detected. The results showed the proposed method can be used for disturbance segmentation as part of a power quality monitoring system.

引用

页码：412 / 417

页数：6

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